Zizhang Sheng

13.4k citations
61 papers · 3.8k indexed · 4 hit papers · h-index 28
Topics
Influenza Virus Research Studies (24 papers)Respiratory viral infections research (18 papers)SARS-CoV-2 and COVID-19 Research (15 papers)

In The Last Decade

Zizhang Sheng

58 papers receiving 3.7k citations

Hit Papers

Alarming antibody evasion properties of rising SARS-CoV-2...20222026202320242022202220222022100200300400

Peers

Zizhang Sheng
Comparison fields: 5 of 114
  • Infectious Diseases 2.2k
  • Epidemiology 1.1k
  • Molecular Biology 1.0k
  • Immunology 725
  • Radiology, Nuclear Medicine and Imaging 491
Replace Ralf Altmeyer with:
Ralf Altmeyer France
Dirk Eggink Netherlands
Fei Yu China
Darwyn Kobasa Canada
Megan L. Shaw United States
Xuguang Li Canada
Alexander N. Freiberg United States
Michael R. Holbrook United States
Thomas P. Peacock United Kingdom
Noel A. Roberts United Kingdom
Zizhang Sheng relative to Ralf Altmeyer France Ralf Altmeyer's profile →
Citations per field
00.5×5.5×
Ralf Altmeyer · 1×
Citations per year

Countries citing papers authored by Zizhang Sheng

Since Specialization
Citations

This map shows the geographic impact of Zizhang Sheng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zizhang Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zizhang Sheng more than expected).

Fields of papers citing papers by Zizhang Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zizhang Sheng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zizhang Sheng. The network helps show where Zizhang Sheng may publish in the future.

Co-authorship network of co-authors of Zizhang Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Zizhang Sheng. A scholar is included among the top collaborators of Zizhang Sheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zizhang Sheng. Zizhang Sheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 13
5 12
6
Antibody evasion properties of SARS-CoV-2 Omicron sublineagesbreakdown →
478
7
Antibody evasion by SARS-CoV-2 Omicron subvariants BA.2.12.1, BA.4 and BA.5breakdown →
433
8
Multiple pathways for SARS-CoV-2 resistance to nirmatrelvirbreakdown →
260
9
Alarming antibody evasion properties of rising SARS-CoV-2 BQ and XBB subvariantsbreakdown →
495
10 42
11 80
12 40
13 36
14 32
15 43
16 8
17 23
18 150
19 42
20 15

About Zizhang Sheng

Zizhang Sheng is a scholar working on Virology, Infectious Diseases and Immunology, having authored 61 papers that have together received 3.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (24 papers), Respiratory viral infections research (18 papers) and SARS-CoV-2 and COVID-19 Research (15 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Virology (317 citations) and Agronomy and Crop Science (362 citations). Zizhang Sheng has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yicheng Guo, David D. Ho, Feng Li, Sho Iketani, Lihong Liu, Jian Yu, Ben M. Hause, Maple Wang, Dan Wang and Emily A. Collin. Their work appears in journals such as Nature, Cell and Immunity.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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